Global Reconfigurable Educational Robots Market Growth 2019-2024

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Reconfigurable educational robots are robots that can be configured physically into different form factors with minimal programming or by joining together various elements of the robot.
Reconfigurable educational robots show the promise of great versatility, robustness and low cost. It is a modular, self-reconfigurable system that is being used to explore the hardware reality of a robot with a large number of interchangeable modules.

The scope of the report mainly includes reconfigurable educational robotic and the whole kits that are to be configured in various patterns.

According to the Segmentation of types, all the market of Reconfigurable Educational Robots can be divided as follows:
The first main kind is Wheeled Robots, it hold a comparatively larger share in global market, which accounts for about 60.73% in 2018.
Another main kind is Humanoid Robots, for many companies, humanoid robots is attractive because of the market trending. The Humanoid Robots share the rest 39.27% market share in 2018.

Crowdfunding campaigns have showed that there is plenty of scope for innovation. The world leading players in the Reconfigurable Educational Robots market are Lego, Makeblock, Fischertechnik, Modular Robotics, Innovation First International, Robotis, Pitsco, Evollve, Parallax, Cytron Technologies, Wonder Workshop, and so on. These Top companies currently account for more than 91% of the total market share and are expected to retain their dominating hold over the market during the forecast period. As consumer interest increases, this market will attract other major companies which want to extend their brand equity.

According to this study, over the next five years the Reconfigurable Educational Robots market will register a 30.6% CAGR in terms of revenue, the global market size will reach US$ 51 million by 2024, from US$ 13 million in 2019. In particular, this report presents the global market share (sales and revenue) of key companies in Reconfigurable Educational Robots business, shared in Chapter 3.

This report presents a comprehensive overview, market shares, and growth opportunities of Reconfigurable Educational Robots market by product type, application, key manufacturers and key regions and countries.

This study considers the Reconfigurable Educational Robots value and volume generated from the sales of the following segments:

Segmentation by product type: breakdown data from 2014 to 2019, in Section 2.3; and forecast to 2024 in section 11.7.
Wheeled Robots
Humanoid Robots
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 11.8.
Primary School
Secondary School
Others

This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
Lego
Makeblock
Fischertechnik
Modular Robotics
Innovation First International
Robotis
Pitsco
Evollve
Parallax
Cytron Technologies
Wonder Workshop

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key manufacturers and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global Reconfigurable Educational Robots consumption (value & volume) by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of Reconfigurable Educational Robots market by identifying its various subsegments.
Focuses on the key global Reconfigurable Educational Robots manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the Reconfigurable Educational Robots with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the consumption of Reconfigurable Educational Robots submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

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Table of Contents

2019-2024 Global Reconfigurable Educational Robots Consumption Market Report

1 Scope of the Report
1.1 Market Introduction
1.2 Research Objectives
1.3 Years Considered
1.4 Market Research Methodology
1.5 Economic Indicators
1.6 Currency Considered

2 Executive Summary
2.1 World Market Overview
2.1.1 Global Reconfigurable Educational Robots Consumption 2014-2024
2.1.2 Reconfigurable Educational Robots Consumption CAGR by Region
2.2 Reconfigurable Educational Robots Segment by Type
2.2.1 Wheeled Robots
2.2.2 Humanoid Robots
2.3 Reconfigurable Educational Robots Consumption by Type
2.3.1 Global Reconfigurable Educational Robots Consumption Market Share by Type (2014-2019)
2.3.2 Global Reconfigurable Educational Robots Revenue and Market Share by Type (2014-2019)
2.3.3 Global Reconfigurable Educational Robots Sale Price by Type (2014-2019)
2.4 Reconfigurable Educational Robots Segment by Application
2.4.1 Primary School
2.4.2 Secondary School
2.4.3 Others
2.5 Reconfigurable Educational Robots Consumption by Application
2.5.1 Global Reconfigurable Educational Robots Consumption Market Share by Application (2014-2019)
2.5.2 Global Reconfigurable Educational Robots Value and Market Share by Application (2014-2019)
2.5.3 Global Reconfigurable Educational Robots Sale Price by Application (2014-2019)

3 Global Reconfigurable Educational Robots by Manufacturers
3.1 Global Reconfigurable Educational Robots Sales Market Share by Manufacturers
3.1.1 Global Reconfigurable Educational Robots Sales by Manufacturers (2017-2019)
3.1.2 Global Reconfigurable Educational Robots Sales Market Share by Manufacturers (2017-2019)
3.2 Global Reconfigurable Educational Robots Revenue Market Share by Manufacturers
3.2.1 Global Reconfigurable Educational Robots Revenue by Manufacturers (2017-2019)
3.2.2 Global Reconfigurable Educational Robots Revenue Market Share by Manufacturers (2017-2019)
3.3 Global Reconfigurable Educational Robots Sale Price by Manufacturers
3.4 Global Reconfigurable Educational Robots Manufacturing Base Distribution, Sales Area, Product Types by Manufacturers
3.4.1 Global Reconfigurable Educational Robots Manufacturing Base Distribution and Sales Area by Manufacturers
3.4.2 Players Reconfigurable Educational Robots Products Offered
3.5 Market Concentration Rate Analysis
3.5.1 Competition Landscape Analysis
3.5.2 Concentration Ratio (CR3, CR5 and CR10) (2017-2019)
3.6 New Products and Potential Entrants
3.7 Mergers & Acquisitions, Expansion

4 Reconfigurable Educational Robots by Regions
4.1 Reconfigurable Educational Robots by Regions
4.1.1 Global Reconfigurable Educational Robots Consumption by Regions
4.1.2 Global Reconfigurable Educational Robots Value by Regions
4.2 Americas Reconfigurable Educational Robots Consumption Growth
4.3 APAC Reconfigurable Educational Robots Consumption Growth
4.4 Europe Reconfigurable Educational Robots Consumption Growth
4.5 Middle East & Africa Reconfigurable Educational Robots Consumption Growth

5 Americas
5.1 Americas Reconfigurable Educational Robots Consumption by Countries
5.1.1 Americas Reconfigurable Educational Robots Consumption by Countries (2014-2019)
5.1.2 Americas Reconfigurable Educational Robots Value by Countries (2014-2019)
5.2 Americas Reconfigurable Educational Robots Consumption by Type
5.3 Americas Reconfigurable Educational Robots Consumption by Application
5.4 United States
5.5 Canada
5.6 Mexico
5.7 Key Economic Indicators of Few Americas Countries

6 APAC
6.1 APAC Reconfigurable Educational Robots Consumption by Countries
6.1.1 APAC Reconfigurable Educational Robots Consumption by Countries (2014-2019)
6.1.2 APAC Reconfigurable Educational Robots Value by Countries (2014-2019)
6.2 APAC Reconfigurable Educational Robots Consumption by Type
6.3 APAC Reconfigurable Educational Robots Consumption by Application
6.4 China
6.5 Japan
6.6 Korea
6.7 Southeast Asia
6.8 India
6.9 Australia
6.10 Key Economic Indicators of Few APAC Countries

7 Europe
7.1 Europe Reconfigurable Educational Robots by Countries
7.1.1 Europe Reconfigurable Educational Robots Consumption by Countries (2014-2019)
7.1.2 Europe Reconfigurable Educational Robots Value by Countries (2014-2019)
7.2 Europe Reconfigurable Educational Robots Consumption by Type
7.3 Europe Reconfigurable Educational Robots Consumption by Application
7.4 Germany
7.5 France
7.6 UK
7.7 Italy
7.8 Russia
7.9 Spain
7.10 Key Economic Indicators of Few Europe Countries

8 Middle East & Africa
8.1 Middle East & Africa Reconfigurable Educational Robots by Countries
8.1.1 Middle East & Africa Reconfigurable Educational Robots Consumption by Countries (2014-2019)
8.1.2 Middle East & Africa Reconfigurable Educational Robots Value by Countries (2014-2019)
8.2 Middle East & Africa Reconfigurable Educational Robots Consumption by Type
8.3 Middle East & Africa Reconfigurable Educational Robots Consumption by Application
8.4 Egypt
8.5 South Africa
8.6 Israel
8.7 Turkey
8.8 GCC Countries

9 Market Drivers, Challenges and Trends
9.1 Market Drivers and Impact
9.1.1 Growing Demand from Key Regions
9.1.2 Growing Demand from Key Applications and Potential Industries
9.2 Market Challenges and Impact
9.3 Market Trends

10 Marketing, Distributors and Customer
10.1 Sales Channel
10.1.1 Direct Channels
10.1.2 Indirect Channels
10.2 Reconfigurable Educational Robots Distributors
10.3 Reconfigurable Educational Robots Customer

11 Global Reconfigurable Educational Robots Market Forecast
11.1 Global Reconfigurable Educational Robots Consumption Forecast (2019-2024)
11.2 Global Reconfigurable Educational Robots Forecast by Regions
11.2.1 Global Reconfigurable Educational Robots Forecast by Regions (2019-2024)
11.2.2 Global Reconfigurable Educational Robots Value Forecast by Regions (2019-2024)
11.2.3 Americas Consumption Forecast
11.2.4 APAC Consumption Forecast
11.2.5 Europe Consumption Forecast
11.2.6 Middle East & Africa Consumption Forecast
11.3 Americas Forecast by Countries
11.3.1 United States Market Forecast
11.3.2 Canada Market Forecast
11.3.3 Mexico Market Forecast
11.3.4 Brazil Market Forecast
11.4 APAC Forecast by Countries
11.4.1 China Market Forecast
11.4.2 Japan Market Forecast
11.4.3 Korea Market Forecast
11.4.4 Southeast Asia Market Forecast
11.4.5 India Market Forecast
11.4.6 Australia Market Forecast
11.5 Europe Forecast by Countries
11.5.1 Germany Market Forecast
11.5.2 France Market Forecast
11.5.3 UK Market Forecast
11.5.4 Italy Market Forecast
11.5.5 Russia Market Forecast
11.5.6 Spain Market Forecast
11.6 Middle East & Africa Forecast by Countries
11.6.1 Egypt Market Forecast
11.6.2 South Africa Market Forecast
11.6.3 Israel Market Forecast
11.6.4 Turkey Market Forecast
11.6.5 GCC Countries Market Forecast
11.7 Global Reconfigurable Educational Robots Forecast by Type
11.8 Global Reconfigurable Educational Robots Forecast by Application

12 Key Players Analysis
12.1 Lego
12.1.1 Company Details
12.1.2 Reconfigurable Educational Robots Product Offered
12.1.3 Lego Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.1.4 Main Business Overview
12.1.5 Lego News
12.2 Makeblock
12.2.1 Company Details
12.2.2 Reconfigurable Educational Robots Product Offered
12.2.3 Makeblock Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.2.4 Main Business Overview
12.2.5 Makeblock News
12.3 Fischertechnik
12.3.1 Company Details
12.3.2 Reconfigurable Educational Robots Product Offered
12.3.3 Fischertechnik Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.3.4 Main Business Overview
12.3.5 Fischertechnik News
12.4 Modular Robotics
12.4.1 Company Details
12.4.2 Reconfigurable Educational Robots Product Offered
12.4.3 Modular Robotics Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.4.4 Main Business Overview
12.4.5 Modular Robotics News
12.5 Innovation First International
12.5.1 Company Details
12.5.2 Reconfigurable Educational Robots Product Offered
12.5.3 Innovation First International Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.5.4 Main Business Overview
12.5.5 Innovation First International News
12.6 Robotis
12.6.1 Company Details
12.6.2 Reconfigurable Educational Robots Product Offered
12.6.3 Robotis Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.6.4 Main Business Overview
12.6.5 Robotis News
12.7 Pitsco
12.7.1 Company Details
12.7.2 Reconfigurable Educational Robots Product Offered
12.7.3 Pitsco Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.7.4 Main Business Overview
12.7.5 Pitsco News
12.8 Evollve
12.8.1 Company Details
12.8.2 Reconfigurable Educational Robots Product Offered
12.8.3 Evollve Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.8.4 Main Business Overview
12.8.5 Evollve News
12.9 Parallax
12.9.1 Company Details
12.9.2 Reconfigurable Educational Robots Product Offered
12.9.3 Parallax Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.9.4 Main Business Overview
12.9.5 Parallax News
12.10 Cytron Technologies
12.10.1 Company Details
12.10.2 Reconfigurable Educational Robots Product Offered
12.10.3 Cytron Technologies Reconfigurable Educational Robots Sales, Revenue, Price and Gross Margin (2017-2019)
12.10.4 Main Business Overview
12.10.5 Cytron Technologies News
12.11 Wonder Workshop

13 Research Findings and Conclusion

Research Process

The research starts with the extensive procurement process of data/information and statistics from company annual reports, government websites, statistic agencies, and paid databases. This information creates a base for the study. This information also helps to define the scope and to narrow down the area for study for the market. This raw information is processed and analysed to extract crisp data points which currently affect or are likely to affect the industry over the forecast period. After analysing the information, a proprietary market estimation & forecast technique is applied, which generates the quantitative figures/sizes of the market/sub-segments in the current scenario as well as for over the forecast period. After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

After populating the market sizes & estimates, numbers are verified with the industry participants and key opinion leaders. The wide network of industry participants performs a value addition in the research and verify the numbers & estimates of the study. In the last stage of the research process, a final report is prepared which is then published on different websites as well as distributed through various channels. Below figure contains the different stages of the whole research performed to produce the report.

DATA MINING

Data mining is one of the extensive stages of our research process. It involves the procurement of market data and related information through different verified & credible sources. This step helps to obtain the raw information about the supply chain of the industry, the monetary process of different Products & End-Uses, the pool of market participants & the nature of the industry and the scope of the study. The data mining stage comprises both primary as well as secondary sources of information. Some of the key data sources are as follows:

Secondary Research In the process of secondary research, various sources are referred to identify and collect industry trends and information for the research process. We at having access to some of the most diversified and extensive paid databases which give us the most accurate data/information on markets sizes, Products and pricing.

In the primary research process for data mining, various key industry participants from both supply and demand side are interviewed to obtain both qualitative as well as quantitative information on the market. In-depth interviews with key primary respondents, including industry professionals, subject matter experts (SMEs), industry consultants, and C-level executives of major companies are conducted to obtain critical qualitative and quantitative aspects pertaining to the market, as well as to assess the prospects for market growth over the forecast period.

ANALYSIS

This step involves the analysis & mapping of all the information procured from the previous step. This step also encompasses the scrutiny of data discrepancies observed across various data sources and finalising the appropriate data for estimation and forecasting. This analysis is done by our experienced panel of industry analysts.

MARKET ESTIMATION

Understanding and penetrating the market in terms of valuation is a crucial task in the process of business research. This again becomes significantly important while investing and choosing the business opportunities. In this regard, we perform two ways market sizing approach simultaneously namely top-down and bottom-up approaches. In this step, we place different data points, numeric attributes, information, and industry trends at an appropriate space in order to deduce the estimates & forecast values over the coming years. We use different mathematical models to estimate the market sizes of different economies and segments. Each of which is further summed up to define the total market. We own a proprietary tool for market estimations which helps us to comprehend market size estimates & forecasts for different markets and industries. Below figure explains the process of market estimation using independent tool employed by our analysts to get the sizing off the market.